Input

num_iteration       1
print_level         1

target        rdf adf vol
param_files   in.params.Coulomb in.params.Morse in.params.angular

opt_method       cs
# opt_method     wpe
num_individuals   4
cs_fraction          0.25
tpe_nsmpl_prior    10

update_vrange        10
fval_upper_limit     100.0
loss_criteria        0.01
stuck_criteria       10

Maximum number of iterations to be performed.

Default: 1

Verbosity level of optzer.

Default: None

List of target names separated by spaces. For example, if xxx and yyy are specified, reference data are read from data.ref.xxx and data.ref.yyy files.

Default: None

List of files that contain texts to be replaced by the optzer in the format, {var-name:format}, e.g., {a:.3f}.

Default: None

Optimization method to be performed. Currently, the following methods are available.

• cs (Cuckoo search)
• wpe (Weighted Parzen Estimator)

Default: None

Number of individuals in a generation.

Default: None

Individuals of the fraction in a generation are dropped from the generation.

Default: None

Number of individuals that should be computed before narrowing down next candidates by TPE or WPE.

Default: None

Effective temperature in WPE algorithm. If one value is given, that is used as a constant temperature. If two values are given, 1st and 2nd values are taken as initial and final temperatures of linearly decreasing temperature.

Default: -1

In case of CS, update the ranges of optimizing variables in every this step. If negative, not to update the ranges.

Default: 100.0

Upper limit of loss function value. The loss function values greater than this value are replaced with it.

Default: -1.0

Convergence criterion of loss function value. If negative, no criterion is applied.

Default: -1

Convergence criterion for the number consecutive generations within which there is no update in loss value. If negative, no criterion is applied.